FineInstructions

✨ Paper: https://arxiv.org/abs/2601.22146

✨ Code: Coming soon

✨ Datasets:

• ~18M FineTemplates (instruction templates created from real user queries): https://huggingface.co/datasets/fineinstructions/finetemplates
• ~1B+ FineInstructions generated on Nemotron-CC corpus (300B tokens): https://huggingface.co/datasets/fineinstructions/fineinstructions_nemotron

✨ Models:

1. Query Genericizer (Query ⇒ Instruction Template): https://huggingface.co/fineinstructions/query_templatizer
2. Document ⇔ Template Matching / Retrieval Embedding: https://huggingface.co/fineinstructions/instruction_template_retrieval_embedding
3. Template Instantiator (Document + Template ⇒ Synthetic Instruction-Answer Pair): https://huggingface.co/fineinstructions/template_instantiator

✨ Citation:

@article{patel2026fineinstructions,
  title={FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale},
  author={Patel, Ajay and Raffel, Colin and Callison-Burch, Chris},
  journal={arXiv preprint arXiv:2601.22146},
  year={2026},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  doi={10.48550/arXiv.2601.22146}
}

✨ Built with DataDreamer: http://datadreamer.dev/

✨ FineInstructions Pipeline: